Analyse biographique de la transformation des modèles matrimoniaux dans quatre capitales africaines : Antananarivo, Dakar, Lomé et Yaoundé
Bibliographic record
Abstract
Privilégiant une approche comparative à l’appui d’une série d’enquêtes biographiques originales conduites à Antananarivo, Dakar, Lomé et Yaoundé, nous examinons les transformations profondes qui affectent la nuptialité en Afrique et tentons d’expliquer les évolutions en cours à l’aide d’analyses biographiques. L’accentuation des difficultés économiques en Afrique depuis une trentaine d’années conduit à un retard important de l’âge au premier mariage et les unions se trouvent davantage fragilisées. Les analyses confirment le recul de l’âge au mariage, en partie conditionné par la dégradation de l’emploi. L’évolution des comportements matrimoniaux après la première union, c’est-à-dire le divorce et l’éventuel remariage, revêt des schémas forts différents d’une capitale à l’autre. Les changements sont tributaires des attentes du mariage et de la place faite aux femmes qui, en Afrique, n’obéissent pas à un schéma unique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".